ArticleScientific reports2023
The anatomy of a population-scale social network.
Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 8 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
8 citing papers in PubMed, 32 citations in OpenAlex.
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- Need for cognitive closure predicts preference for similar others and reduced diversity in social networks.Scientific reports · 2026Article
- Multilayer networks describing urban interactions for building the digital twins of five cities in Spain.Scientific data · 2025Article
- SEEDNet: Covariate-free multi-country settlement-level epidemiological estimates datasets for network analysis.Scientific data · 2025Article
- Unveiling the social fabric through a temporal, nation-scale social network and its characteristics.Scientific reports · 2025Article
- Assessing COVID-19 transmission through school and family networks using population-level registry data from the Netherlands.Scientific reports · 2024Article
- Bilateral flows and rates of international migration of scholars for 210 countries for the period 1998-2020.Scientific data · 2024Article
- The effect of distant connections on node anonymity in complex networks.Scientific reports · 2024Article
Corrections and comments
- Erratum issued
Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Large-scale human social network structure is typically inferred from digital trace samples of online social media platforms or mobile communication data. Instead, here we investigate the social network structure of a complete population, where people are connected by high-quality links sourced from administrative registers of family, household, work, school, and next-door neighbors. We examine this multilayer social opportunity structure through three common concepts in network analysis: degree, closure, and distance. Findings present how particular network layers contribute to presumably universal scale-free and small-world properties of networks. Furthermore, we suggest a novel measure of excess closure and apply this in a life-course perspective to show how the social opportunity structure of individuals varies along age, socio-economic status, and education level.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.